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Yang F, Pang Z, Yang Z, Yang Y, Wang Y, Jia P, Wang D, Cui S. Value of CT‑derived fractional flow reserve in identifying patients with acute myocardial infarction based on coronary computed tomography angiography. Exp Ther Med 2023; 26:558. [PMID: 37941593 PMCID: PMC10628645 DOI: 10.3892/etm.2023.12258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 09/07/2023] [Indexed: 11/10/2023] Open
Abstract
The aim of the present study was to determine whether coronary stenosis and computed tomography-derived fractional flow reserve (CT-FFR), detected by coronary computed tomography angiography (CCTA), can potentially contribute to distinguish acute myocardial infarction (AMI) from unstable angina (UA). The study retrospectively collected data from consecutive patients who were admitted with obstructive coronary artery disease (CAD) and who received CCTA and invasive coronary angiography (ICA) as part of their clinical workup. According to the inclusion criteria, the patients were divided into the AMI group and UA group, and the basic clinical data, CCTA stenosis degree and CT-FFR values were compared between the two groups. Univariate and multivariate logistic regression methods were used to analyze the association between ≥70% CCTA stenosis, ≤0.80 CT-FFR and AMI. A diagnostic model of AMI was established (model 1, ≤0.80 CT-FFR; model 2, ≥70% CCTA stenosis; and model 3, ≤0.80 CT-FFR combined with ≥70% CCTA stenosis), and the diagnostic efficacy of the three models for AMI was compared. The significance level was set at P<0.05. A total of 116 participants were finally enrolled in this study. There were 37 patients in the AMI group, with an average age of 62.06±7.74 years, and 79 patients in the UA group, with an average age of 58.11±10.0 years; there was no significant difference in age (P>0.05). The multivariate regression analysis revealed that ≤0.80 CT-FFR (HR=28.074; 95% CI: 5.712-137.973; P<0.001), and ≥70% CCTA stenosis (HR=10.796; 95% CI: 2.566-45.425; P=0.001) were independent risk factors for AMI. The diagnostic model of ≤0.80 CT-FFR combined with ≥70% CCTA stenosis (AUC=0.914; 95% CI: 0.847-0.958) exhibited increased diagnosis performance than the ≤0.80 CT-FFR model (AUC=0.865; 95% CI: 0.790-0.922; P=0.0060) and the ≥70% CCTA stenosis model (AUC=0.827; 95% CI: 0.745-0.891; P=0.0008). Collectively, it was demonstrated that ≤0.80 CT-FFR and ≥70% CCTA stenosis were independent risk factors for the diagnosis of AMI, and the combination of CT-FFR and CCTA stenosis further improved AMI diagnosis performance.
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Affiliation(s)
- Fei Yang
- Department of Medical Imaging, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei 075000, P.R. China
| | - Zhiying Pang
- Department of Medical Imaging, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei 075000, P.R. China
| | - Zhixiang Yang
- Graduate School, Hebei North University, Zhangjiakou, Hebei 075000, P.R. China
| | - Yue Yang
- Graduate School, Hebei North University, Zhangjiakou, Hebei 075000, P.R. China
| | - Yanfei Wang
- Department of Medical Imaging, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei 075000, P.R. China
| | - Peng Jia
- Department of Medical Imaging, Beijing Huairou Hospital, Beijing 101400, P.R. China
| | - Dawei Wang
- Department of Cardiothoracic Surgery, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei 075000, P.R. China
| | - Shujun Cui
- Department of Medical Imaging, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei 075000, P.R. China
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Liu Z, Ding Y, Dou G, Wang X, Shan D, He B, Jing J, Li T, Chen Y, Yang J. Global trans-lesional computed tomography-derived fractional flow reserve gradient is associated with clinical outcomes in diabetic patients with non-obstructive coronary artery disease. Cardiovasc Diabetol 2023; 22:186. [PMID: 37496009 PMCID: PMC10373274 DOI: 10.1186/s12933-023-01901-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 06/23/2023] [Indexed: 07/28/2023] Open
Abstract
BACKGROUND Coronary computed tomography angiography (CCTA)-derived fractional flow reserve (CT-FFR) enables physiological assessment and risk stratification, which is of significance in diabetic patients with nonobstructive coronary artery disease (CAD). We aim to evaluate prognostic value of the global trans-lesional CT-FFR gradient (GΔCT-FFR), a novel metric, in patients with diabetes without flow-limiting stenosis. METHODS Patients with diabetes suspected of having CAD were prospectively enrolled. GΔCT-FFR was calculated as the sum of trans-lesional CT-FFR gradient in all epicardial vessels greater than 2 mm. Patients were stratified into low-gradient without flow-limiting group (CT-FFR > 0.75 and GΔCT-FFR < 0.20), high-gradient without flow-limiting group (CT-FFR > 0.75 and GΔCT-FFR ≥ 0.20), and flow-limiting group (CT-FFR ≤ 0.75). Discriminant ability for major adverse cardiovascular events (MACE) prediction was compared among 4 models [model 1: Framingham risk score; model 2: model 1 + Leiden score; model 3: model 2 + high-risk plaques (HRP); model 4: model 3 + GΔCT-FFR] to determine incremental prognostic value of GΔCT-FFR. RESULTS Of 1215 patients (60.1 ± 10.3 years, 53.7% male), 11.3% suffered from MACE after a median follow-up of 57.3 months. GΔCT-FFR (HR: 2.88, 95% CI 1.76-4.70, P < 0.001) remained independent risk factors of MACE in multivariable analysis. Compared with the low-gradient without flow-limiting group, the high-gradient without flow-limiting group (HR: 2.86, 95% CI 1.75-4.68, P < 0.001) was associated with higher risk of MACE. Among the 4 risk models, model 4, which included GΔCT-FFR, showed the highest C-statistics (C-statistics: 0.75, P = 0.002) as well as a significant net reclassification improvement (NRI) beyond model 3 (NRI: 0.605, P < 0.001). CONCLUSIONS In diabetic patients with non-obstructive CAD, GΔCT-FFR was associated with clinical outcomes at 5 year follow-up, which illuminates a novel and feasible approach to improved risk stratification for a global hemodynamic assessment of coronary artery in diabetic patients.
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Affiliation(s)
- Zinuan Liu
- Medical School of Chinese PLA, Beijing, China
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, #6 FuCheng Road, Haidian District, Beijing, China
| | - Yipu Ding
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, #6 FuCheng Road, Haidian District, Beijing, China
- School of Medicine, Nankai University, Tianjin, China
| | - Guanhua Dou
- Department of Cardiology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Xi Wang
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, #6 FuCheng Road, Haidian District, Beijing, China
| | - Dongkai Shan
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, #6 FuCheng Road, Haidian District, Beijing, China
| | - Bai He
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, #6 FuCheng Road, Haidian District, Beijing, China
| | - Jing Jing
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, #6 FuCheng Road, Haidian District, Beijing, China
| | - Tao Li
- Department of Radiology, The First Medical Center of PLA General Hospital, Beijing, China
| | - Yundai Chen
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, #6 FuCheng Road, Haidian District, Beijing, China.
| | - Junjie Yang
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, #6 FuCheng Road, Haidian District, Beijing, China.
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Gao X, Wang R, Sun Z, Zhang H, Bo K, Xue X, Yang J, Xu L. A Novel CT Perfusion-Based Fractional Flow Reserve Algorithm for Detecting Coronary Artery Disease. J Clin Med 2023; 12:jcm12062154. [PMID: 36983156 PMCID: PMC10058085 DOI: 10.3390/jcm12062154] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 02/23/2023] [Accepted: 02/28/2023] [Indexed: 03/12/2023] Open
Abstract
Background: The diagnostic accuracy of fractional flow reserve (FFR) derived from coronary computed tomography angiography (CCTA) (FFR-CT) needs to be further improved despite promising results available in the literature. While an innovative myocardial computed tomographic perfusion (CTP)-derived fractional flow reserve (CTP-FFR) model has been initially established, the feasibility of CTP-FFR to detect coronary artery ischemia in patients with suspected coronary artery disease (CAD) has not been proven. Methods: This retrospective study included 93 patients (a total of 103 vessels) who received CCTA and CTP for suspected CAD. Invasive coronary angiography (ICA) was performed within 2 weeks after CCTA and CTP. CTP-FFR, CCTA (stenosis ≥ 50% and ≥70%), ICA, FFR-CT and CTP were assessed by independent laboratory experts. The diagnostic ability of the CTP-FFR grouped by quantitative coronary angiography (QCA) in mild (30–49%), moderate (50–69%) and severe stenosis (≥70%) was calculated. The effect of calcification of lesions, grouped by FFR on CTP-FFR measurements, was also assessed. Results: On the basis of per-vessel level, the AUCs for CTP-FFR, CTP, FFR-CT and CCTA were 0.953, 0.876, 0.873 and 0.830, respectively (all p < 0.001). The sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of CTP-FFR for per-vessel level were 0.87, 0.88, 0.87, 0.85 and 0.89 respectively, compared with 0.87, 0.54, 0.69, 0.61, 0.83 and 0.75, 0.73, 0.74, 0.70, 0.77 for CCTA ≥ 50% and ≥70% stenosis, respectively. On the basis of per-vessel analysis, CTP-FFR had higher specificity, accuracy and AUC compared with CCTA and also higher AUC compared with FFR-CT or CTP (all p < 0.05). The sensitivity and accuracy of CTP-FFR + CTP + FFR-CT were also improved over FFR-CT alone (both p < 0.05). It also had improved specificity compared with FFR-CT or CTP alone (p < 0.01). A strong correlation between CTP-FFR and invasive FFR values was found on per-vessel analysis (Pearson’s correlation coefficient 0.89). The specificity of CTP-FFR was higher in the severe calcification group than in the low calcification group (p < 0.001). Conclusions: A novel CTP-FFR model has promising value to detect myocardial ischemia in CAD, particularly in mild-to-moderate stenotic lesions.
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Affiliation(s)
- Xuelian Gao
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Rui Wang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Zhonghua Sun
- Discipline of Medical Radiation Science, Curtin Medical School, Curtin University, Perth 6845, Australia
| | - Hongkai Zhang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Kairui Bo
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Xiaofei Xue
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China
| | - Junjie Yang
- Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, Beijing 100048, China
- Correspondence: (J.Y.); (L.X.)
| | - Lei Xu
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
- Correspondence: (J.Y.); (L.X.)
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Sharifkazemi M, Hooshanginezhad Z, Zoroufian A, Shamsa K. Is it the Time to Move Towards Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve Guided Percutaneous Coronary Intervention? The Pros and Cons. Curr Cardiol Rev 2023; 19:e190123212887. [PMID: 36658709 PMCID: PMC10494271 DOI: 10.2174/1573403x19666230119115228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 11/08/2022] [Accepted: 11/21/2022] [Indexed: 01/21/2023] Open
Abstract
Coronary artery disease is the leading cause of mortality worldwide. Diagnosis is conventionally performed by direct visualization of the arteries by invasive coronary angiography (ICA), which has inherent limitations and risks. Measurement of fractional flow reserve (FFR) has been suggested for a more accurate assessment of ischemia in the coronary artery with high accuracy for determining the severity and decision on the necessity of intervention. Nevertheless, invasive coronary angiography-derived fractional flow reserve (ICA-FFR) is currently used in less than one-third of clinical practices because of the invasive nature of ICA and the need for additional equipment and experience, as well as the cost and extra time needed for the procedure. Recent technical advances have moved towards non-invasive high-quality imaging modalities, such as magnetic resonance, single-photon emission computed tomography, and coronary computed tomography (CT) scan; however, none had a definitive modality to confirm hemodynamically significant coronary artery stenosis. Coronary computed tomography angiography (CCTA) can provide accurate anatomic and hemodynamic data about the coronary lesion, especially calculating fractional flow reserve derived from CCTA (CCTA-FFR). Although growing evidence has been published regarding CCTA-FFR results being comparable to ICA-FFR, CCTA-FFR has not yet replaced the invasive conventional angiography, pending additional studies to validate the advantages and disadvantages of each diagnostic method. Furthermore, it has to be identified whether revascularization of a stenotic lesion is plausible based on CCTA-FFR and if the therapeutic plan can be determined safely and accurately without confirmation from invasive methods. Therefore, in the present review, we will outline the pros and cons of using CCTA-FFR vs. ICA-FFR regarding diagnostic accuracy and treatment decision-making.
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Affiliation(s)
| | - Zahra Hooshanginezhad
- Division of Cardiology, Nemazee Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Arezou Zoroufian
- Division of Cardiology, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Kamran Shamsa
- Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
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Wu C, Liu X, Ghista D, Yin Y, Zhang H. Effect of plaque compositions on fractional flow reserve in a fluid-structure interaction analysis. Biomech Model Mechanobiol 2021; 21:203-220. [PMID: 34713361 DOI: 10.1007/s10237-021-01529-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 10/13/2021] [Indexed: 01/14/2023]
Abstract
Coronary artery disease involves the reduction of blood flow to the myocardium due to atherosclerotic plaques. The findings of myocardial ischemia may indicate severe coronary stenosis, but many studies have demonstrated a mismatch between lumen stenosis and fractional flow reserve (FFR). Recently, some clinical studies have found that the composition of atherosclerotic plaques may be a potential missing link between stenosis and ischemia. To investigate the relationship between myocardial ischemia and plaque composition, we have developed and adopted a new fluid-structure interaction (FSI) patient-specific coronary plaque model, based on computed tomography angiography data, to assess the impact on FFR as a biomechanical indicator of ischemia. A total of 180 analyses have been performed in 3D-FSI coronary artery disease models based on plaque compositions, plaque location, and stenosis degree. Hemodynamic analysis of simulation results and comparisons with other methods has been conducted to validate our models. Our results have successfully verified that the different compositions of plaques have resulted in differences in the calculated FFR. The mean FFR values with lipid plaques are [Formula: see text] as compared to the mean FFR values in lesions with fibrous plaques [Formula: see text] and calcified plaques [Formula: see text]. Besides, FFR differences between the three different plaque compositions have been shown to increase as the diameter stenosis increased. Plaque composition affects vascular stiffness and vascular dilation ability, and thereby affects the stenosis degree, resulting in abnormal FFR leading to myocardial ischemia. This interrelationship can help to diagnose the cause of high-risk coronary artery disease, leading to myocardial ischemia.
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Affiliation(s)
- Chulin Wu
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, 518107, China
| | - Xiujian Liu
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, 518107, China
| | - Dhanjoo Ghista
- University 2020 Foundation, Northborough, MA, 01532, USA
| | - Youbin Yin
- Shenzhen Keya Medical Technology Corporation, Shenzhen, 518172, China
| | - Heye Zhang
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, 518107, China.
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Vardhan M, Randles A. Application of physics-based flow models in cardiovascular medicine: Current practices and challenges. BIOPHYSICS REVIEWS 2021; 2:011302. [PMID: 38505399 PMCID: PMC10903374 DOI: 10.1063/5.0040315] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 02/18/2021] [Indexed: 03/21/2024]
Abstract
Personalized physics-based flow models are becoming increasingly important in cardiovascular medicine. They are a powerful complement to traditional methods of clinical decision-making and offer a wealth of physiological information beyond conventional anatomic viewing using medical imaging data. These models have been used to identify key hemodynamic biomarkers, such as pressure gradient and wall shear stress, which are associated with determining the functional severity of cardiovascular diseases. Importantly, simulation-driven diagnostics can help researchers understand the complex interplay between geometric and fluid dynamic parameters, which can ultimately improve patient outcomes and treatment planning. The possibility to compute and predict diagnostic variables and hemodynamics biomarkers can therefore play a pivotal role in reducing adverse treatment outcomes and accelerate development of novel strategies for cardiovascular disease management.
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Affiliation(s)
- M. Vardhan
- Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, USA
| | - A. Randles
- Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, USA
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Liu X, Mo X, Zhang H, Yang G, Shi C, Hau WK. A 2-year investigation of the impact of the computed tomography-derived fractional flow reserve calculated using a deep learning algorithm on routine decision-making for coronary artery disease management. Eur Radiol 2021; 31:7039-7046. [PMID: 33630159 DOI: 10.1007/s00330-021-07771-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 01/06/2021] [Accepted: 02/10/2021] [Indexed: 12/16/2022]
Abstract
OBJECTIVE This study aims to investigate the safety and feasibility of using a deep learning algorithm to calculate computed tomography angiography-based fractional flow reserve (DL-FFRCT) as an alternative to invasive coronary angiography (ICA) in the selection of patients for coronary intervention. MATERIALS AND METHODS Patients (N = 296) with symptomatic coronary artery disease identified by coronary computed tomography angiography (CTA) with stenosis over 50% were retrospectively enrolled from a single centre in this study. ICA-guided interventions were performed in patients at admission, and DL-FFRCT was conducted retrospectively. The influences on decision-making by using DL-FFRCT and the clinical outcome were compared to those of ICA-guided care for symptomatic CAD at the 2-year follow-up evaluation. RESULT Two hundred forty-three patients were evaluated. Up to 72% of diagnostic ICA studies could have been avoided by using a DL-FFRCT value > 0.8 as a cut-off for intervention. A similar major adverse cardiovascular event (MACE) rate was observed in patients who underwent revascularisation with a DL-FFRCT value ≤ 0.8 (2.9%) compared to that of ICA-guided interventions (3.3%) (stented lesions with ICA stenosis > 75%) (p = 0.838). CONCLUSION DL-FFRCT can reduce the need for diagnostic coronary angiography when identifying patients suitable for coronary intervention. A low MACE rate was found in a 2-year follow-up investigation. KEY POINTS • Seventy-two percent of diagnostic ICA studies could have been avoided by using a DL-FFRCT value > 0.8 as a cut-off for intervention. • Coronary artery stenting based on the diagnosis by using a 320-detector row CT scanner and a positive DL-FFRCT value could potentially be associated with a lower occurrence rate of major adverse cardiovascular events (2.9%) within the first 2 years. • A low event rate was found when intervention was performed in tandem lesions with haemodynamic significance based on DL-FFRCT < 0.8 as a cut-off value.
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Affiliation(s)
- Xin Liu
- Guangdong Academy Research on VR Industry, Foshan University, #18 Jiangwan 1st Road, Foshan, 528000, Guangdong, China
| | - Xukai Mo
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, No 613 Huangpu Dadao West, Guangzhou, 510630, China.,Engineering Research Center of Medical Imaging Artificial Intelligence for Precision Diagnosis and Treatment, No 613 Huangpu Dadao West, Guangzhou, 610630, China
| | - Heye Zhang
- School of Biomedical Engineering, Sun Yat-sen University, No. 135, Xingang Xi Road, Guangzhou, 510275, China
| | - Guang Yang
- National Heart and Lung Institute, Imperial College London, London, SW7 2AZ, UK
| | - Changzheng Shi
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, No 613 Huangpu Dadao West, Guangzhou, 510630, China. .,Engineering Research Center of Medical Imaging Artificial Intelligence for Precision Diagnosis and Treatment, No 613 Huangpu Dadao West, Guangzhou, 610630, China.
| | - William Kongtou Hau
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, 30-32 Ngan Shing St., Sha Tin, Hong Kong, SAR, China
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Peper J, Suchá D, Swaans M, Leiner T. Functional cardiac CT-Going beyond Anatomical Evaluation of Coronary Artery Disease with Cine CT, CT-FFR, CT Perfusion and Machine Learning. Br J Radiol 2020; 93:20200349. [PMID: 32783626 DOI: 10.1259/bjr.20200349] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
The aim of this review is to provide an overview of different functional cardiac CT techniques which can be used to supplement assessment of the coronary arteries to establish the significance of coronary artery stenoses. We focus on cine-CT, CT-FFR, CT-myocardial perfusion and how developments in machine learning can supplement these techniques.
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Affiliation(s)
- Joyce Peper
- Department of Cardiology, St. Antonius Hospital Koekoekslaan 1, Nieuwegein, the Netherlands.,Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
| | - Dominika Suchá
- Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
| | - Martin Swaans
- Department of Cardiology, St. Antonius Hospital Koekoekslaan 1, Nieuwegein, the Netherlands
| | - Tim Leiner
- Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
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Willemink MJ. At the heart of innovation: cardiac imaging in 2019. Eur Radiol 2020; 31:11-13. [PMID: 32740812 DOI: 10.1007/s00330-020-07106-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 06/06/2020] [Accepted: 07/23/2020] [Indexed: 11/30/2022]
Affiliation(s)
- Martin J Willemink
- Department of Radiology, Stanford University School of Medicine, 300 Pasteur Drive, S-072, Stanford, CA, 94305-5105, USA.
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10
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Hu W, Wu X, Dong D, Cui LB, Jiang M, Zhang J, Wang Y, Wang X, Gao L, Tian J, Cao F. Novel radiomics features from CCTA images for the functional evaluation of significant ischaemic lesions based on the coronary fractional flow reserve score. Int J Cardiovasc Imaging 2020; 36:2039-2050. [DOI: 10.1007/s10554-020-01896-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 05/21/2020] [Indexed: 04/12/2023]
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11
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Qiao HY, Tang CX, Schoepf UJ, Tesche C, Bayer RR, Giovagnoli DA, Todd Hudson H, Zhou CS, Yan J, Lu MJ, Zhou F, Lu GM, Jiang JW, Zhang LJ. Impact of machine learning–based coronary computed tomography angiography fractional flow reserve on treatment decisions and clinical outcomes in patients with suspected coronary artery disease. Eur Radiol 2020; 30:5841-5851. [DOI: 10.1007/s00330-020-06964-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 04/02/2020] [Accepted: 05/15/2020] [Indexed: 12/12/2022]
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12
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Tsuchiya M, Masui T, Katayama M, Hayashi Y, Yamada T, Terauchi K, Kawamura K, Ishikawa R, Mizobe H, Yamamichi J, Sakahara H, Goshima S. Temporal subtraction of low-dose and relatively thick-slice CT images with large deformation diffeomorphic metric mapping and adaptive voxel matching for detection of bone metastases: A STARD-compliant article. Medicine (Baltimore) 2020; 99:e19538. [PMID: 32195958 PMCID: PMC7220493 DOI: 10.1097/md.0000000000019538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
To evaluate the improvement of radiologist performance in detecting bone metastases at follow up low-dose computed tomography (CT) by using a temporal subtraction (TS) technique based on an advanced nonrigid image registration algorithm.Twelve patients with bone metastases (males, 5; females, 7; mean age, 64.8 ± 7.6 years; range 51-81 years) and 12 control patients without bone metastases (males, 5; females, 7; mean age, 64.8 ± 7.6 years; 51-81 years) were included, who underwent initial and follow-up CT examinations between December 2005 and July 2016. Initial CT images were registered to follow-up CT images by the algorithm, and TS images were created. Three radiologists independently assessed the bone metastases with and without the TS images. The reader averaged jackknife alternative free-response receiver operating characteristics figure of merit was used to compare the diagnostic accuracy.The reader-averaged values of the jackknife alternative free-response receiver operating characteristics figures of merit (θ) significantly improved from 0.687 for the readout without TS and 0.803 for the readout with TS (P value = .031. F statistic = 5.24). The changes in the absolute value of CT attenuations in true-positive lesions were significantly larger than those in false-negative lesions (P < .001). Using TS, segment-based sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of the readout with TS were 66.7%, 98.9%, 94.4%, 90.9%, and 94.8%, respectively.The TS images can significantly improve the radiologist's performance in the detection of bone metastases on low-dose and relatively thick-slice CT.
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Affiliation(s)
- Mitsuteru Tsuchiya
- Department of Diagnostic Radiology and Nuclear Medicine, Graduate School of Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku
| | - Takayuki Masui
- Department of Radiology, Seirei Hamamatsu General Hospital, 2-12-12, Sumiyoshi, Naka-ku, Hamamatsu City, Shizuoka
| | - Motoyuki Katayama
- Department of Radiology, Seirei Hamamatsu General Hospital, 2-12-12, Sumiyoshi, Naka-ku, Hamamatsu City, Shizuoka
| | - Yuki Hayashi
- Department of Radiology, Seirei Hamamatsu General Hospital, 2-12-12, Sumiyoshi, Naka-ku, Hamamatsu City, Shizuoka
| | - Takahiro Yamada
- Department of Radiology, Seirei Hamamatsu General Hospital, 2-12-12, Sumiyoshi, Naka-ku, Hamamatsu City, Shizuoka
| | - Kazuma Terauchi
- Department of Radiology, Seirei Hamamatsu General Hospital, 2-12-12, Sumiyoshi, Naka-ku, Hamamatsu City, Shizuoka
| | - Kenshi Kawamura
- Department of Radiology, Seirei Hamamatsu General Hospital, 2-12-12, Sumiyoshi, Naka-ku, Hamamatsu City, Shizuoka
| | - Ryo Ishikawa
- Medical Imaging Information Technology Development Department Canon Inc.70-1, Yanagi-cho, Saiwai-ku, Kawasaki-shi, Kanagawa
| | - Hideaki Mizobe
- Medical Imaging Information Technology Development Department Canon Inc.70-1, Yanagi-cho, Saiwai-ku, Kawasaki-shi, Kanagawa
| | - Junta Yamamichi
- Medical Imaging Information Technology Development Department Canon Inc.70-1, Yanagi-cho, Saiwai-ku, Kawasaki-shi, Kanagawa
| | - Harumi Sakahara
- Department of Diagnostic Radiology and Nuclear Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu City, Shizuoka, Japan
| | - Satoshi Goshima
- Department of Diagnostic Radiology and Nuclear Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu City, Shizuoka, Japan
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13
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Kim EY, Ko JH, Kim YS, Oh PC. Prevalence and associated factors of influenza vaccination coverage in Korean adults with cardiovascular disease. Medicine (Baltimore) 2020; 99:e18540. [PMID: 31895791 PMCID: PMC6946247 DOI: 10.1097/md.0000000000018540] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Infection with influenza virus increases morbidity and mortality in patients with risk factors, including cardiovascular disease (CVD). This study aimed to evaluate factors associated with influenza vaccination coverage in Korean CVD patients.We included 19,599 adults from the 2010 to 2012 Korea National Health and Nutrition Examination Survey. Influenza vaccination rates were compared in subjects with and without CVD. Logistic regression analysis was performed to identify factors associated with influenza vaccination in Korean adults with CVD before and after stratification for age (<65 and ≥65 years).Significantly higher vaccination rates were observed in individuals with CVD than in those without CVD (61.4% vs 31.0%, P < .001). However, young individuals (19-49 years) had decreased influenza vaccination rates, with no difference based on CVD status (20.3% vs 21.6%, P = .859). A lack of private insurance (odds ratio [OR], 0.47; 95% confidence interval [CI], 0.23-0.98) and recent health screening (OR, 4.56; 95% CI, 1.90-10.92) were independent factors for influenza vaccination in CVD patients aged <65 years, whereas female sex (OR, 3.71; 95% CI, 1.24-11.07) and less education (OR, 4.59; 95% CI, 1.27-16.61) were independent factors in CVD patients aged ≥65 years.Improving influenza vaccination coverage for Korean adults with CVD is important, especially in young patients. For young patients with CVD, influenza vaccination status is independently associated with the presence of private insurance and recent health screening. This finding could help establish public health policies to promote influenza vaccination in this population.
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Affiliation(s)
- Eun Young Kim
- Department of Radiology, Gil Medical Center, Gachon University College of Medicine, Incheon
- Department of Information and Statistics, Korea National Open University, Seoul
| | - Jae Ho Ko
- School of Medicine, Gachon University College of Medicine
| | - Young Saing Kim
- Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, South Korea
| | - Pyung Chun Oh
- Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, South Korea
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14
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Computed tomography angiography-derived fractional flow reserve (CT-FFR) for the detection of myocardial ischemia with invasive fractional flow reserve as reference: systematic review and meta-analysis. Eur Radiol 2019; 30:712-725. [DOI: 10.1007/s00330-019-06470-8] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Revised: 08/21/2019] [Accepted: 09/19/2019] [Indexed: 12/22/2022]
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15
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Jiang MS, Luo XF, wang Z, Li X. The transjugular approach is a safe and effective alternative for performing portal vein embolization. Medicine (Baltimore) 2019; 98:e17851. [PMID: 31702644 PMCID: PMC6855494 DOI: 10.1097/md.0000000000017851] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
To evaluate the safety and efficacy of the novel technique, transjugular portal vein embolization (TPVE).A single-center retrospective review of 18 patients (12 males and 6 females; mean age, 62 years) who underwent TPVE between January 2012 and January 2013 was conducted. The technical success rate, future liver remnant (FLR) volume, total liver volume (TLV) and FLR/TLV ratio after PVE were analyzed. Liver function, including total bilirubin (TB), aspartate aminotransferase (AST), alanine aminotransferase (ALT) and International Normalized Ratio (INR), was assessed before and after PVE. Any complications of TPVE and liver resection after TPVE were recorded.TPVE was performed on 18 patients before right hepatic resection for both primary and secondary hepatic malignancies (10 hepatocellular carcinomas, 4 cases of colorectal liver metastasis, and 4 cholangiocarcinomas). Technical success was achieved in 100% of patients (18 of 18). The mean FRL significantly increased to 580 ± 155 mL (P < .001) after PVE. The mean FLR/TLV ratio (%) significantly increased to 34 ± 4 (P < .001) after PVE. One patient suffered septicemia after TPVE. A small number patients experienced mild to moderate abdominal pain during TPVE. No other major complications occurred after TPVE in our study. The patient who developed septicemia died 3 days after the surgery as a result of this complication and subsequent multiple organ dysfunction syndrome (MODS).Transjugular portal vein embolization is a safe, efficacious, and promising novel technique to induce hypertrophy of the FLR.
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Affiliation(s)
| | | | | | - Xiao Li
- Institution of Interventional Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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